feat: swanlab params

Former-commit-id: d5cf87990e5bea920ecd1561def09fa17cf328b1

src/llamafactory/hparams/finetuning_args.py

@@ -308,11 +308,31 @@ class BAdamArgument:
 class SwanLabArguments:
     use_swanlab: bool = field(
         default=False,
-        metadata={"help": ""},
+        metadata={"help": "Whether or not to use the SwanLab (an experiment tracking and visualization tools)."},
     )
-    swanlab_name: str = field(
+    swanlab_project: str = field(
         default="",
-        metadata={},
+        metadata={"help": "The project name in SwanLab."},
+    )
+    swanlab_workspace: str = field(
+        default="",
+        metadata={"help": "The workspace name in SwanLab."},
+    )
+    swanlab_experiment_name: str = field(
+        default="",
+        metadata={"help": "The experiment name in SwanLab."},
+    )
+    swanlab_description: str = field(
+        default="",
+        metadata={"help": "The experiment description in SwanLab."},
+    )
+    swanlab_mode: Literal["cloud", "local", "disabled"] = field(
+        default="cloud",
+        metadata={"help": "The mode of SwanLab."},
+    )
+    swanlab_api_key: str = field(
+        default="",
+        metadata={"help": "The API key for SwanLab."},
     )
 
 

src/llamafactory/train/trainer_utils.py

@@ -463,6 +463,18 @@ def get_swanlab_callback(finetuning_args: "FinetuningArguments") -> "TrainerCall
     r"""
     Gets the callback for logging to SwanLab.
     """
-    from swanlab.integration.huggingface import SwanLabCallback
+    import swanlab
+    from swanlab.integration.transformers import SwanLabCallback
     
-    return SwanLabCallback()
+    if finetuning_args.swanlab_api_key is not None:
+        swanlab.login(api_key=finetuning_args.swanlab_api_key)
+
+    swanlab_callback = SwanLabCallback(
+        project=finetuning_args.swanlab_project,
+        workspace=finetuning_args.swanlab_workspace,
+        experiment_name=finetuning_args.swanlab_experiment_name,
+        description=finetuning_args.swanlab_description,
+        mode=finetuning_args.swanlab_mode,
+    )
+
+    return swanlab_callback